Your browser doesn't support javascript.
loading
Spatial synchrony in the response of a long range migratory species (Salmo salar) to climate change in the North Atlantic Ocean.
Olmos, Maxime; Payne, Mark R; Nevoux, Marie; Prévost, Etienne; Chaput, Gérald; Du Pontavice, Hubert; Guitton, Jérôme; Sheehan, Timothy; Mills, Katherine; Rivot, Etienne.
Afiliação
  • Olmos M; UMR ESE, Ecology and Ecosystem Health, Agrocampus Ouest, INRAe, Rennes, France.
  • Payne MR; Management of Diadromous Fish in their Environment, AFB, INRAe, Agrocampus Ouest, UNIV PAU & PAYS ADOUR/E2S UPPA, Rennes, France.
  • Nevoux M; National Institute for Aquatic Resources, Technical University of Denmark (DTU-Aqua), Kongens Lyngby, Denmark.
  • Prévost E; UMR ESE, Ecology and Ecosystem Health, Agrocampus Ouest, INRAe, Rennes, France.
  • Chaput G; Management of Diadromous Fish in their Environment, AFB, INRAe, Agrocampus Ouest, UNIV PAU & PAYS ADOUR/E2S UPPA, Rennes, France.
  • Du Pontavice H; Management of Diadromous Fish in their Environment, AFB, INRAe, Agrocampus Ouest, UNIV PAU & PAYS ADOUR/E2S UPPA, Rennes, France.
  • Guitton J; ECOBIOP, INRAe, Univ. Pau & Pays Adour/E2S, UPPA, Saint-Pée-sur-Nivelle, France.
  • Sheehan T; Fisheries and Oceans Canada, Moncton, NB, Canada.
  • Mills K; UMR ESE, Ecology and Ecosystem Health, Agrocampus Ouest, INRAe, Rennes, France.
  • Rivot E; Nippon Foundation-Nereus Program, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada.
Glob Chang Biol ; 26(3): 1319-1337, 2020 03.
Article em En | MEDLINE | ID: mdl-31701595
A major challenge in understanding the response of populations to climate change is to separate the effects of local drivers acting independently on specific populations, from the effects of global drivers that impact multiple populations simultaneously and thereby synchronize their dynamics. We investigated the environmental drivers and the demographic mechanisms of the widespread decline in marine survival rates of Atlantic salmon (Salmo salar) over the last four decades. We developed a hierarchical Bayesian life cycle model to quantify the spatial synchrony in the marine survival of 13 large groups of populations (called stock units, SU) from two continental stock groups (CSG) in North America (NA) and Southern Europe (SE) over the period 1971-2014. We found strong coherence in the temporal variation in postsmolt marine survival among the 13 SU of NA and SE. A common North Atlantic trend explains 37% of the temporal variability of the survivals for the 13 SU and declines by a factor of 1.8 over the 1971-2014 time series. Synchrony in survival trends is stronger between SU within each CSG. The common trends at the scale of NA and SE capture 60% and 42% of the total variance of temporal variations, respectively. Temporal variations of the postsmolt survival are best explained by the temporal variations of sea surface temperature (SST, negative correlation) and net primary production indices (PP, positive correlation) encountered by salmon in common domains during their marine migration. Specifically, in the Labrador Sea/Grand Banks for populations from NA, 26% and 24% of variance is captured by SST and PP, respectively and in the Norwegian Sea for populations from SE, 21% and 12% of variance is captured by SST and PP, respectively. The findings support the hypothesis of a response of salmon populations to large climate-induced changes in the North Atlantic simultaneously impacting populations from distant continental habitats.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Salmo salar Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte / Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Salmo salar Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte / Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article